Mini toolsDefinition
A compressed representation space where similar data points cluster together, capturing essential features of the input data.
Detailed Explanation
A lower-dimensional space where data is encoded in a way that captures its fundamental characteristics and relationships. This space is learned by models like autoencoders and GANs, and can be used for generation, interpolation, and analysis of complex data.
Use Cases
Image generation with GANs, Music synthesis, Drug discovery, Anomaly detection
